Seedance 2.0 — from blind prompting to precision directing

Seedance 2.0: Multimodal AI Video Generation with Director-Level Control

ByteDance's Seedance 2.0 is the only AI video model that combines text, image, video, and audio references in a single generation.
Up to 12 inputs per request — identity locking, motion transfer, and native audio in one workflow.

Combine up to 9 images + 3 videos + 3 audio files with @-Tag syntax for frame-level control over every generation.

What is Seedance 2.0?

Seedance 2.0 is ByteDance's second-generation AI video generation model, representing a paradigm shift from blind prompting to precision directing. Unlike any other video model on the market, Seedance 2.0 accepts up to 12 multimodal reference inputs in a single generation — 9 images, 3 video clips, and 3 audio files — combined with text prompts using an intuitive @-Tag syntax. This all-round reference system lets creators lock character identity, transfer motion from reference videos, synchronize audio rhythm, and enforce visual branding consistency, all within one generation request. The model also delivers improved motion stability, better physical coherence, and native audio-visual joint generation inherited from Seedance 1.5 Pro.

12-Input Multimodal Reference

Seedance 2.0 is the only video model supporting video, audio, and image references in a single request. Upload up to 9 images for character faces, clothing textures, and environment styles; 3 video clips for camera movements or choreography; and 3 audio tracks for rhythm and timing synchronization. Reference each asset in your prompt using @-Tag syntax like [Image1], [Video1], [Audio1] for explicit, frame-level control over what each file contributes to the generation.

Identity Locking and Motion Transfer

What sets Seedance 2.0 apart from competitors is its ability to handle identity locking and motion transfer simultaneously. While other models struggle to keep a character's face consistent when they start dancing or performing complex actions, Seedance 2.0 uses a Reference Cluster to bind specific visual traits to the generated output. This makes it essential for visual identity in marketing campaigns, where consistency across shots is non-negotiable.

Stable Complex Motion and Physics

Seedance 2.0 can generate multi-participant competitive sports scenes — a challenge that previous models struggled to accomplish. Complex motions and interactions are rendered stably and true to physical laws, from articulated humanoid movement to object interactions. The model maintains temporal consistency across frames, so objects and characters hold their appearance reliably throughout the clip.

C2PA Content Provenance

Seedance 2.0 embeds C2PA (Coalition for Content Provenance and Authenticity) metadata into every generated video, recording that it was AI-generated, which model created it, and when. Unlike visible watermarks, C2PA metadata is cryptographically signed and embedded at the file level, making it much harder to strip. ByteDance is one of the earliest major players to ship this standard at the consumer level, supporting transparency requirements and regulatory compliance.

Why Seedance 2.0 Changes Video Production

Seedance 2.0 bridges the gap between AI randomness and professional precision. Here is what makes it the most controllable video generation model available.

For the past two years, AI video generation felt like blind prompting — you typed a descriptive paragraph and hoped the AI interpreted your vision correctly. Seedance 2.0 replaces guesswork with reference-based direction. Instead of describing what a face looks like in words, you provide a photo. Instead of explaining camera movement in text, you upload a reference video. This multimodal approach lets creators pin down exact visual styles and keep product branding perfectly consistent through every part of a campaign.

Seedance 2.0 Feature Highlights

The capabilities that make Seedance 2.0 the most controllable and versatile AI video generation model on the market.

12-Input Multimodal Reference

Combine 9 images, 3 video clips, and 3 audio files with text in a single generation. No other video model offers this level of multimodal input in one request.

@-Tag Syntax for Frame-Level Control

Reference each uploaded asset in your prompt using [Image1], [Video1], [Audio1] syntax. Explicitly control what each file contributes — identity, motion, style, or rhythm.

Identity Locking

Bind character faces, clothing, and visual traits to reference images so they stay consistent across frames and shots — even during complex motion sequences.

Motion Transfer from Video

Upload a reference video to transfer specific camera movements, choreography, or physical actions to the generated output. Show the model the motion instead of describing it.

Audio-Visual Joint Generation

Inherited from Seedance 1.5 Pro: video and audio generated simultaneously with millisecond-level synchronization. Dialogue, environmental sounds, and music matched to visuals.

Complex Motion and Sports Scenes

Generate multi-participant competitive sports scenes with stable rendering true to physical laws — a capability previous models struggled to achieve.

C2PA Content Provenance

Cryptographically signed metadata embedded in every generated video, recording AI origin, model identity, and creation timestamp. Supports regulatory compliance and platform transparency.

IP Protection Guardrails

Model-level restrictions block generation of recognizable real people's likenesses, including public figures and celebrities. Content filtering operates at generation time, not after the fact.

Seedance 2.0 Frequently Asked Questions

Everything you need to know about ByteDance's multimodal AI video generation model.









Direct Your Next Video with Seedance 2.0

Stop guessing what the AI will generate. Upload your references, tag them in your prompt, and get video that matches your vision — character identity, motion, audio, and style all under your control.